NeuralScope Trader

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I have been both a professional and private Financial Market Trader in Futures and Commodities since 1984. A Computer Scientist by academic discipline both undergraduate and graduate. In 1998 I completed my PhD., in Cybernetic Cognitive Science (Advanced Computer Science), utilizing High Performance Computing and Big Data in (Applied Real-Time Automated Cognitive Analysis (Artificial Intelligence and Deep Learning Neural Nets) for Global Financial Market Forecasting and Automatic Algorithmic Trading Systems) – Published Works – NeuralScope TM. (http://www.neuralscope.com).

NeuralScope software has been available online since and has subscribers in over 78 countries. Since 2003, I have predominantly and personally traded the FOREX market successfully. NeuralScope is fully automated and is able to trade high frequency without human intervention, taking human emotion out of the equation. This is very complex software and as its creator and author, I am able to manage NeuralScope the best.

I would now like to take this to a new level and trade as a business for a crowd, pool or in essence a hedge fund and in return split the profits after costs at a 60/40 ratio. 60% for the funds owner and 40% bonus to myself. Costs are very minimal. This is a viable business proposal with legal contract agreements for all investors, with a negotiable minimum salary and max account drawdown agreement. Monthly reporting is done to each investor.

There are substantial risks, so I must herein inform all participants of the risks involved.

As this is a new undertaking, "Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading, for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results.

There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

We do not promote any stocks, futures or options. We do not receive any compensation from companies.

All stock, futures and options trading involves risk. You must decide your own suitability to invest in a trading operation. Stock, futures and options trading is intended for the aggressive investor or speculator who seeks higher returns in exchange for any associated risk. Past performance is NEVER a guarantee of future results. No representation is made that any account will, or is likely to achieve profits or losses.

Most systems are based on historical formulas which have worked in the past. However, what has happened before may or may not happen again. You can lose all your money trading stocks, futures and options and you must decide your own suitability as to whether or not to participate. Only invest with true risk capital you can afford to lose. Properly funded trading accounts typically perform better than those that are not. We never risk more than 5% of account net asset value on any one trade. If this doesn’t fit your trading initiative or style, then we do not recommend this initiative for you.

There are no guarantees or certainties in trading. Reliability of trading signals for mechanical systems are in probabilities only. Trading involves hard work, risk, discipline and the ability to follow rules and trade through any tough periods during a system’s draw downs. If you are looking for a guarantee, trading is probably not for you. Truth is, a lot of people lose in trading. One of the reasons is that they lack discipline and are unable to be consistent. A system like NeuralScope can help you become consistent. The ability to be disciplined and take the trades is equally as important as any technical indicators a trader uses. Ironically, worrying about the money aspect of trades can contribute to and cause a trader to make trading errors. Therefore, it is important to only trade with true risk capital and make every effort to minimize risk. We try to maintain a 3 to 1 ratio in our trading. This means you can lose 3 times and win 1 time and you should be at 0 in profit and loss.

Past performance is no guarantee of future results. While there is great potential for reward trading FOREX, commodity, stocks, futures or options, there is also substantial risk of loss in all futures and options trading and you must decide your own suitability to invest in this initiative. Future trading results can never be guaranteed.

If this proposal is of interest to you and meets your criteria, you may contact me directly at [email protected].

Thank you for your interest and I look forward to hearing back from you soon.

Yours faithfully,

Terry L. Cooper

Telephone: 1-877-468-6228

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The following is a brief understanding of how a Neural Net pattern formation is created in NeuralScope. In the Net image, the neural net is constructed of

Inputs = Y x Hidden Layers = X

(With Hidden Layers equal to 2 x Square Root of the Inputs ) = [2x√ Y]= X

In the net example, although not fully illustrated the same as in NeuralScope, due to space constraints.

Then we use half of these as the other half are just the opposite sign.

[Inputs = 5 x (2 x Square Root (Hidden Layers) = 4.47)]

= [5 Y x 4.47X] = 22.35!

½ (22.35!) = 11.18!

= 11.18!(Permutations)

With every Input Inter-connected to every Hidden Layer node which is in this case, equals 11.18 Factorial or represented as 11.18! which is equal to 39,916,800 connection nodes for this small Net.

NeuralScope Inputs, usually range between 50 and 100, dependent upon the study, time scale and bar size being forecast.

So you can understand the enormous mathematical matrix that is created and used as a pattern model.

A 50 input Neural Net would equate to 707! or 2.075762585 E+1709 and a 100 Input Neural Net would equate to 2000! or 3.316275092 E+5735 or roughly a 6000 digit number.

Why do we do this you may ask? To mimic the way the human brain works! When a baby is conceived in the womb, they start development with approximately 100 Billion synoptic connections nodes or neurons, which will grow exponentially by the time they are actually born at 9 months and continue to grow exponentially into their late teens and early twenties or until they reach adulthood and their body has fully developed. And as far as we know now, may even continue to grow throughout their lifetime. We are only just being able to start to be able to map the human brain and already we have found this to be a monumental task due to the brains complexity and amount of synoptic neuron connection nodes.

So, how does NeuralScope work? Very simply put, just like the Human Brain does. Maybe “simply” is not the best word usage here considering the above example, as NeuralScope's, Artificial Intelligence, as well as the Human Brain are extremely more complex, than just “ simply “. So how does NeuralScope work? When NeuralScopes Neural Net has learned patterns over a specific historical spectrum of symbol data, it creates a model. It then is able to identify through very complex matrix mathematics, (see above), re-occurrences of events from patterns which are stored, just the same as the human brain stores memories. For example; lets say that you touch something that is very hot, the activity passes from the sensors in your fingers to the synopsis of your brain in a fraction of a second via neural pathways and the event is also stored for future reference, while an immediate reaction is issued to pull your hand away from the impending danger. The next time you encounter this or a similar event the stored information is recalled and a warning from your brain is initiated, thus alerting you, when considering touching this item. This is known as the learning and recollection process. The same works with a Neural Net. Multi Dimensional Patterns are learned which exist in the Symbol Spectrum very similar to Fractal Patterns. A Fractal is a Pattern within Chaos. Snowflakes, Leaves and many natural components around us offer a form of natures Fractal Patterns. The symbol spectrum is very much the same and although there are infinite patterns and cyclic activity within a chaos spectrum, the spectrum itself is finite and we are able to identify and extract multi dimensional patterns that are meaningful enough, while ignoring noise on the spectrum base and identifying multi dimensional patterns, that are able to assist us in our decision making, thus reducing the error scientifically and systematically, remembering that the ability to remove the error totally is at the moment impossible. NeuralScope looks inside the spectrum at billions of permutations and millions of patterns in a split second, through complex matrix mathematics and makes forecasts with an extraordinary high degree of confidence. Confidence is measured in Correlation Coefficient and R 2 values of prediction capabilities learned for actual future events. NeuralScopes underlying matrix mathematics is extremely powerful, and offers correlation on, learning history verses prediction actual, with very high Correlation Coefficient and R 2 values. When certain criterion is met an order is initiated for you to submit your trade to the appropriate arena. The Exiting strategy performs additional observations. As market conditions change very rapidly, NeuralScope takes into account several blended incremental exit scenarios, concurrently. From Reverse Net Predictions to various Capture/Exit Stops!

NeuralScope also offers a protective per trade Stop Loss to help in protecting you from an uncontrolled loss and assisting in Money Management. NeuralScope is fully automated and can be set to trade directly without any human intervention.

One of the most difficult challenges in trading is to achieve a correctly balanced Loss/Win Ration and so that you are not progressively digging yourself into a financial hole. This is why systematic trading is the best way, so you remove human emotional factors and maintain a consistent ratio and insure that your losses are not exceeding your wins overall.

This is not gambling! On a 50/50 spectrum, like that of a market symbol, the chances of a correct outcome is basically 50%. Not like gambling which has an enormous potential for loss. For example, in horse racing, you may have a field of say 14 horses. To pick a winner of 1 horse, the odds are 1 / 14!. That is 1 dived by 14 Factorial or 1 / 8.71782912 E+10 = 0.00000000001147074560. So that would be basically 0.

With a 50% correct outcome, you should be able to flip a coin and with the proper money management approaches have a positive outcome. Now with the NeuralScope approach to market forecasting, you are scientifically reducing this error even further. Then with the systematic trading system, you are even improving your odds further. Yes, there are risks associated in trading the markets. But nothing compared to gambling. And with risk mitigation, you have no where near the potential odds of loss compared with gambling. This is why the banks make most of their profits through trading. They don't make their money through mortgages and loans.

Please contact me if I can answer any questions for you.

Again, thank you for your time and consideration.

Rewards

60 percent after costs

Organizer

Cybernetic Cognitive Scientist; including Quantitative Data Analyst and High Frequency Financial Market Algorithmic Trader, including a Advanced IT Pr

Cybernetic Cognitive Scientist; including Quantitative Data Analyst and High Frequency Financial Market Algorithmic Trader, including a Advanced IT Pr

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